Senior AI Networking Exploration Architect at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

M.Sc. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
+5 years of experience
Strong ML/Data Science background with hands-on experience in LLMs or generative AI
Systems-level mindset with the ability to estimate end-to-end requirements across the entire AI stack
Proven ability to translate research and product requirements into clear software/hardware specifications
Exceptional research skills: digest academic papers, self-learn new domains, and independently test hypotheses
Advanced Python programming skills for performance modeling and data analysis
Excellent communication skills, with the ability to present complex findings with clarity and conviction
Pragmatic approach: detail-oriented but can prioritize effectively to focus on the most critical issues

Responsibilities

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations
Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams
Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams
Incorporate deep knowledge of AI applications into hardware and software roadmaps
Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis
Drive architectural innovation and network optimization by applying domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads

Skills

Networking

LLMs

Generative AI

Deep Learning

Data Science

Performance Modeling

Systems Optimization

Hardware Architecture

Software Libraries

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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